Supermicro® Total Solution for Machine Learning
Supermicro and Canonical have partnered to deliver solutions that feature TensorFlow machine learning.
This solution is built and validated with Supermicro SuperServers, SuperStorage systems, and Supermicro Ethernet switches that are optimized for performance and designed to provide the highest levels of reliability, quality and scalability.
Canonical, the company behind Ubuntu, helps organizations make the most of Ubuntu. The Canonical Distribution of Kubernetes (CDK) is pure upstream Kubernetes tested across the widest range of clouds. Canonical also provides a rich ecosystem of tools, libraries, services, modern metrics, and monitoring tools to make CDK easy to consume so you can innovate faster.
Kubeflow is an open source project dedicated to providing easy-to-use Machine Learning (ML) resources on top of a Kubernetes cluster. Most prominently, Kubeflow eases the installation of TensorFlow and provides the mechanisms for leveraging GPUs attached to the underlying host in the execution of ML jobs submitted to it. TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
Supermicro + Canonical Machine Learning Certified Platforms
Build your Machine Learning solution with Supermicro and Canonical.
- Validated reference architectures
- Certified components
- Scale out – One rack to many racks
- Greenest Servers for the Cloud – Save hundreds of dollars per server
- Lowest Cost – Best Performance / Watt / $ / ft²
- Start as a pro by leveraging expertize support and services
Enterprise support for Canonical Distribution of Kubernetes and Kubeflow is provided by Canonical in partnership with Supermicro whereby customers gain access to a global pool of knowledge & expertise. The partnership offers a Discovery and Design Service - together, we design your infrastructure to the required size and specifications.